update documentation

docs/index.rst

@@ -163,7 +163,7 @@ Classification       DCS: Dynamic Classifier Selection (Combination of multiple
 Classification       DES: Dynamic Ensemble Selection (From dynamic classifier selection to dynamic ensemble selection)       2008   :cite:`a-ko2008dynamic` (WIP)
 Classification       Stacking (meta ensembling): use a meta learner to learn the base classifier results                     N/A    :cite:`a-gorman2016kaggle`                   :class:`combo.models.stacking.Stacking`
 Clustering           Clusterer Ensemble: combine the results of multiple clustering results by relabeling                    2006   :cite:`a-zhou2006clusterer`                  :class:`combo.models.cluster_comb.ClustererEnsemble`
-Anomaly Detection    SimpleDetectorCombination: combining outlier detectors by general purpose methods above                 N/A    :cite:`a-aggarwal2017outlier`                :class:`combo.models.classifier_comb.SimpleDetectorAggregator`
+Anomaly Detection    SimpleDetectorCombination: combining outlier detectors by general purpose methods above                 N/A    :cite:`a-aggarwal2017outlier`                :class:`combo.models.detector_comb.SimpleDetectorAggregator`
 Anomaly Detection    Average of Maximum (AOM): divide base detectors into subgroups to take the maximum, and then average    2015   :cite:`a-aggarwal2015theoretical`            :mod:`combo.models.score_comb.aom`
 Anomaly Detection    Maximum of Average (MOA): divide base detectors into subgroups to take the average, and then maximize   2015   :cite:`a-aggarwal2015theoretical`            :mod:`combo.models.score_comb.moa`
 Anomaly Detection    XGBOD: a semi-supervised combination framework for outlier detection                                    2018   :cite:`a-zhao2018xgbod`                      :class:`combo.models.xgbod.XGBOD`